Market Analysis by covering: Microsoft Corporation, Alphabet Inc Class A, Apple Inc, Meta Platforms Inc. Read 's Market Analysis on Investing.com
Trump’s inflation problem deepens; utilities next in line: BofA’s HartnettWith the U.S. national debt exceeding $37 trillion and interest payments surpassing defense spending, many articles have been written about the“In recent months, much debate has been about rising debt and increasing deficit levels in the U.
S. For example, here is a recent headline from CNBC:” “The article’s author suggests that U.S. federal deficits are ballooning, with spending surging due to the combined impact of tax cuts, expansive stimulus, and entitlement expenditures. Of course, with institutions like Yale, Wharton, and the CBO warning that this trend has pushed interest costs to new heights, now exceeding defense outlays, concerns about domestic solvency are rising. Even prominent figures in the media, from Larry Summers to Ray Dalio, argue that drastic action is urgently needed, otherwise another “financial crisis” is imminent.”have been saying the same thing for the last two decades, yet the American growth engine continues chugging along. Notably, Ray Dalio and Larry Summers focus on only one solution:Furthermore, investors must understand a critical accounting concept: that the government’s debt is the household’s asset. In accounting, for every debit there is a credit that must always equal zero . In this case, when the Government issues debt , it is sent into the economy for infrastructure, defense, social welfare, etc. That money is “credited” to the bank accounts of households and corporations. Therefore, when the deficit increases, that money winds up in economic activity, and vice versa.“grow your way out of your debt problem.”The buildout of data centers and the power grid may offer the best opportunity to generate sustained growth. The scale of investment is large enough to matter, the economic multipliers are high, and the timeline aligns with when fiscal pressure will peak. Data centers are the backbone of the digital economy. AI models, cloud platforms, and automation rely on them, and each large AI model requires thousands of GPUs housed in purpose-built facilities. These are not minor server rooms. They are $1 billion-plus industrial complexes. But, for the build-out ofto impact economic growth, a massive investment will be required to affect a $30 trillion U.S. economy. How much are we talking about? As noted in our previous article on data center demand, McKinsey projects that data center investment will reach $7 trillion globally by 2030. Over 40 percent of that will happen in the U.S. Alone. Moreover, Nvidia’s latest quarterly report forecasted data center capital expenditures by Apple estimates that every $1 billion in infrastructure investment creates 13,000 jobs and adds $3 billion to GDP over a decade. Therefore, by 2030, if the $5 trillion in combined investment in AI data centers and power generation comes to fruition,The chart below shows the average 5-year growth rate in nominal GDP and projected growth. The chart below assumes we will continue to issue debt at the average quarterly pace since 2021. However, instead of wasting money, we focus on productive investments while maintaining all current spending programs and obligations. Assuming some conservative growth estimates resulting from the investments, the“debt crisis”The growth opportunity is significant, but not risk-free. While the bears constantly ring the alarm bell about the current level of debt and deficits, the more dire economic consequences they forecast may fail to come to fruition.“Generative artificial intelligence has the potential to automate many work tasks and eventually boost global economic growth . AI will start having a measurable impact on US GDP in 2027 and begin affecting growth in other economies worldwide in the following years. The foundation of the forecast is the finding that AI could ultimately automate around 25% of labor tasks in advanced economies and 10-20% of work in emerging economies.”Increases in productivity, productive capital investment, and increased labor demand for the infrastructure buildoutWill it solve all of the current socio-economic ills facing the U.S.? No. However, it may provide the growth boost necessary to revitalize economic growth and prosperity in the U.S., which we have not seen since the 1970s. But there are risks to this outlook. The scale of spending may lift electricity prices. A study from NC State found national prices could rise 8 percent by 2030, with some localities seeing 20–25 percent jumps. If not managed, this could erode industrial competitiveness. Jobs per dollar of investment are low. Data centers are automated. Once built, they require few workers. A $1 billion facility may employ only 100 people full-time. There is a local backlash. Projects require land, water, and energy. Communities are resisting tax incentives and environmental costs. Several counties have imposed moratoriums. Permitting delays and regulatory hurdles remain high. The average interconnection wait for new power projects is over 3 years. Without reform, many AI investments will be delayed or redirected.Public policy must streamline permitting, including environmental review, grid interconnection, and land use. Given that infrastructure and national security are at stake, a public/private partnership should be involved. Tax policy should avoid distortion. Many subsidies go to projects that were already economically viable. The focus should be on shared infrastructure, such as transmission lines, regional data hubs, and reliability upgrades. Utilities need regulatory clarity. Traditional cost-of-service models may not align with the fast pace of AI demand, so performance-based rates or return-on-equity mechanisms may be required. Energy policy must support generation diversity. Solar and wind are inefficient, and AI demands require firm natural gas, nuclear, and advanced storage capacity. The goal should be energy abundance. High reliability, low prices, and scalable infrastructure will attract private AI investment and increase growth.Risk Disclosure: Trading in financial instruments and/or cryptocurrencies involves high risks including the risk of losing some, or all, of your investment amount, and may not be suitable for all investors. Prices of cryptocurrencies are extremely volatile and may be affected by external factors such as financial, regulatory or political events. Trading on margin increases the financial risks. 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